A global retail leader partnered with Syntasa to unify customer data across four channels — in-store transactions, loyalty-card interactions, app sessions, and web browsing, into a single, governed foundation that marketing, eCommerce, data engineering, and data science teams could all work from.
Powered by two Data Ready modules, the platform transformed raw transactional data into a structured basket-level datamart and unified behavioral and interaction data into a holistic customer view — eliminating the repeated preparation work that had been consuming analyst time across every team.
The unified foundation enabled sharper segmentation built on actual behavior rather than broad demographics, surfaced bundling and cross-sell opportunities directly from basket composition, and gave data science teams a reliable base for affinity modelling, LTV prediction, propensity scoring, and churn analysis, ultimately producing one shared source of truth that closed the gap between customer signal and commercial action.
This is how a global retail leader used warehouse-native data unification to turn fragmented customer signals into a single, trusted foundation for personalization at scale.
